AIMC Topic: Solitary Pulmonary Nodule

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Evolutionary image simplification for lung nodule classification with convolutional neural networks.

International journal of computer assisted radiology and surgery May 29, 2018
PURPOSE: Understanding decisions of deep learning techniques is important. Especially in the medical field, the reasons for a decision in a classification task are as crucial as the pure classification results. In this article, we propose a new appro...
Machine Learning Software Algorithms Humans Neural Networks, Computer Lung Neoplasms Solitary Pulmonary Nodule Lung Decision Making Diagnosis, Computer-Assisted Electronic Data Processing Image Processing, Computer-Assisted
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Small lung nodules detection based on local variance analysis and probabilistic neural network.

Computer methods and programs in biomedicine Apr 28, 2018
BACKGROUND AND OBJECTIVE: In medical examinations doctors use various techniques in order to provide to the patients an accurate analysis of their actual state of health. One of the commonly used methodologies is the x-ray screening. This examination...
Humans Neural Networks, Computer Algorithms Databases, Factual Medical Errors Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Carcinoma X-Rays Lung Neoplasms Pattern Recognition, Automated Reproducibility of Results Radiographic Image Enhancement Probability Solitary Pulmonary Nodule False Positive Reactions Sensitivity and Specificity Lung
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Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.

PloS one Apr 19, 2018
We aimed to evaluate a computer-aided diagnosis (CADx) system for lung nodule classification focussing on (i) usefulness of the conventional CADx system (hand-crafted imaging feature + machine learning algorithm), (ii) comparison between support vect...
Solitary Pulmonary Nodule Area Under Curve Bayes Theorem Tomography, X-Ray Computed Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Support Vector Machine Machine Learning Algorithms Databases, Factual Humans
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Agile convolutional neural network for pulmonary nodule classification using CT images.

International journal of computer assisted radiology and surgery Feb 23, 2018
OBJECTIVE: To distinguish benign from malignant pulmonary nodules using CT images is critical for their precise diagnosis and treatment. A new Agile convolutional neural network (CNN) framework is proposed to conquer the challenges of a small-scale m...
Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed Lung Neoplasms Solitary Pulmonary Nodule
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3D multi-view convolutional neural networks for lung nodule classification.

PloS one Nov 16, 2017
The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context information of lung nodules, and the multi-view strategy has been shown to be useful for improving the performance of 2D CNN in classifying lung nodules. In ...
Tomography, X-Ray Computed Lung Neoplasms Solitary Pulmonary Nodule Humans Neural Networks, Computer Algorithms
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Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network.

Scientific reports Sep 1, 2017
We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-solid and non-solid nodules in pulmonary computerized tomography images using a Convolutional Neural Network (CNN). Provided with only a two-dimension...
Solitary Pulmonary Nodule Diagnosis, Differential Humans Neural Networks, Computer Databases, Factual Diagnosis, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Lung
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Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images.

Journal of healthcare engineering Aug 9, 2017
Lung cancer is the most common cancer that cannot be ignored and cause death with late health care. Currently, CT can be used to help doctors detect the lung cancer in the early stages. In many cases, the diagnosis of identifying the lung cancer depe...
ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Solitary Pulmonary Nodule Radiography, Thoracic Humans Neural Networks, Computer Software Algorithms Tomography, X-Ray Computed Reproducibility of Results
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Feature fusion for lung nodule classification.

International journal of computer assisted radiology and surgery Jun 16, 2017
PURPOSE: This article examines feature-based nodule description for the purpose of nodule classification in chest computed tomography scanning.
Lung Neoplasms Support Vector Machine Solitary Pulmonary Nodule Algorithms Tomography, X-Ray Computed ROC Curve Humans
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Fully automatic detection of lung nodules in CT images using a hybrid feature set.

Medical physics Jun 16, 2017
PURPOSE: The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved after rigorous experimentation, which has helped in reducing the false positives significantl...
Humans Algorithms Tomography, X-Ray Computed Support Vector Machine Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Diagnosis, Computer-Assisted Lung Neoplasms
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Pulmonary nodule classification with deep residual networks.

International journal of computer assisted radiology and surgery May 13, 2017
UNLABELLED: PURPOSE  : Lung cancer has the highest death rate among all cancers in the USA. In this work we focus on improving the ability of computer-aided diagnosis (CAD) systems to predict the malignancy of nodules from cropped CT images of lung n...
Solitary Pulmonary Nodule Multidetector Computed Tomography Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Lung Neoplasms Humans
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